Internet-based weight control: the relationship between web features and weight loss.
Internet-based weight control programs have been showing promising results; however, as of yet, it is unclear which website components are critical for producing and maintaining weight loss. The aim of this study is to examine the utilization patterns of a weight control website and the relationship of the Web features to weight loss and maintenance. One hundred and twenty three (N = 123) participants took part in a 12-month behavioral weight control program over the Internet and their website utilization patterns were monitored. When examining the clustering of Web feature utilization and weight loss, the "feedback" factor (progress charts, physiological calculators, and past journals) was the best predictor of weight loss during the treatment period (baseline to 6 months), while the "social support" factor (Web chats and biographical information/e-mail addresses of participants) was the best predictor during maintenance. Weight loss in an online weight control program was related to dynamic Web features that provided feedback, support, and motivation to participants.
Krukowski
Rebecca A
RA
Fay W Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA. RAKrukowski@uams.edu
Harvey-Berino
Jean
J
Ashikaga
Takamaru
T
Thomas
Colleen S
CS
Micco
Nicci
N
D000328:Adult; D000368:Aged; D001521:Behavior Therapy / Q000379:methods; D015992:Body Mass Index; D015331:Cohort Studies; D004038:Diet, Reducing / Q000379:methods; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000175:diagnosis / Q000628:therapy*; D010349:Patient Compliance; D017060:Patient Satisfaction; D012680:Sensitivity and Specificity; D017216:Telemedicine / Q000379:methods; D013813:Therapy, Computer-Assisted / Q000379:methods*; D015431:Weight Loss